Image processing apparatus, image recording apparatus and image processing method

Abstract

Image processing device, image recording device and image processing method. An object of the present invention is to provide an image processing device, an image recording device, and an image processing method capable of performing gradation conversion processing optimal for a scene at the time of shooting regardless of shooting conditions. A histogram of pixel values ​​of the input image data is calculated in the histogram calculation unit (1), and the calculated histogram is input to the gradation transformation characteristic determination unit (2). In the gradation transformation characteristic determination unit (2), the histogram calculated in the histogram calculation unit (1) for photographic information synthesis and the fixed gradation stored in the fixed gradation transformation characteristic storage unit (5) are referred to. Transformation characteristics to determine the grayscale transformation characteristics. The gradation conversion of the image data is performed in a gradation conversion unit (4) based on the determined gradation conversion characteristics.

Description

technical field [0001] The present invention relates to an image processing device, an image recording device and an image processing method, and in particular to an image processing device, an image recording device and an image processing method for adaptively performing grayscale conversion processing on an image. Background technique [0002] The grayscale performance of an image is one of the important factors that determine the image quality. Usually, the signal output from the imaging element is approximately proportional to the light intensity incident on the imaging element. Here, the output signal from the imaging element is grayed out in accordance with the final image observation environment (for example, image observation on a monitor or image output from a printer, etc.) in subsequent image processing. degree conversion processing. For example, in the case of a general digital camera, the sRGB color space is adopted as the standard color space of the image fi...

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Problems solved by technology

[0008] However, in the technique proposed in Patent Document 1, since the necessity of correction of the luminance distribution is judged from the luminance distribution of the subject, for example, a scene with low luminance and a large amount of noise due to electrical amplification The gradation transformation characteristics and the optimum value after gradation transformation are different depending on the conditions at the time of shooting, and it is difficult to optimize each The grayscale transformation processing

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